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Piecewise quadratic growth during the 2019 novel coronavirus epidemic

The temporal growth in the number of deaths in the COVID-19 epidemic is subexponential. Here we show that a piecewise quadratic law provides an excellent fit during the thirty days after the first three fatalities on January 20 and later since the end of March 2020. There is also a brief intermediat...

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Autor principal: Brandenburg, Axel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485523/
https://www.ncbi.nlm.nih.gov/pubmed/32954094
http://dx.doi.org/10.1016/j.idm.2020.08.014
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author Brandenburg, Axel
author_facet Brandenburg, Axel
author_sort Brandenburg, Axel
collection PubMed
description The temporal growth in the number of deaths in the COVID-19 epidemic is subexponential. Here we show that a piecewise quadratic law provides an excellent fit during the thirty days after the first three fatalities on January 20 and later since the end of March 2020. There is also a brief intermediate period of exponential growth. During the second quadratic growth phase, the characteristic time of the growth is about eight times shorter than in the beginning, which can be understood as the occurrence of separate hotspots. Quadratic behavior can be motivated by peripheral growth when further spreading occurs only on the outskirts of an infected region. We also study numerical solutions of a simple epidemic model, where the spatial extend of the system is taken into account. To model the delayed onset outside China together with the early one in China within a single model with minimal assumptions, we adopt an initial condition of several hotspots, of which one reaches saturation much earlier than the others. At each site, quadratic growth commences when the local number of infections has reached a certain saturation level. The total number of deaths does then indeed follow a piecewise quadratic behavior.
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spelling pubmed-74855232020-09-14 Piecewise quadratic growth during the 2019 novel coronavirus epidemic Brandenburg, Axel Infect Dis Model Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu The temporal growth in the number of deaths in the COVID-19 epidemic is subexponential. Here we show that a piecewise quadratic law provides an excellent fit during the thirty days after the first three fatalities on January 20 and later since the end of March 2020. There is also a brief intermediate period of exponential growth. During the second quadratic growth phase, the characteristic time of the growth is about eight times shorter than in the beginning, which can be understood as the occurrence of separate hotspots. Quadratic behavior can be motivated by peripheral growth when further spreading occurs only on the outskirts of an infected region. We also study numerical solutions of a simple epidemic model, where the spatial extend of the system is taken into account. To model the delayed onset outside China together with the early one in China within a single model with minimal assumptions, we adopt an initial condition of several hotspots, of which one reaches saturation much earlier than the others. At each site, quadratic growth commences when the local number of infections has reached a certain saturation level. The total number of deaths does then indeed follow a piecewise quadratic behavior. KeAi Publishing 2020-09-11 /pmc/articles/PMC7485523/ /pubmed/32954094 http://dx.doi.org/10.1016/j.idm.2020.08.014 Text en © 2020 The Author http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu
Brandenburg, Axel
Piecewise quadratic growth during the 2019 novel coronavirus epidemic
title Piecewise quadratic growth during the 2019 novel coronavirus epidemic
title_full Piecewise quadratic growth during the 2019 novel coronavirus epidemic
title_fullStr Piecewise quadratic growth during the 2019 novel coronavirus epidemic
title_full_unstemmed Piecewise quadratic growth during the 2019 novel coronavirus epidemic
title_short Piecewise quadratic growth during the 2019 novel coronavirus epidemic
title_sort piecewise quadratic growth during the 2019 novel coronavirus epidemic
topic Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485523/
https://www.ncbi.nlm.nih.gov/pubmed/32954094
http://dx.doi.org/10.1016/j.idm.2020.08.014
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